Simon Leigh 1 , Jing Ouyang 2 , Chris Mimnagh 3 Show Affiliations »
Abstract
BACKGROUND: Mobile health offers many opportunities; however, the 'side-effects' of health apps are often unclear. With no guarantee health apps first do no harm, their role as a viable, safe and effective therapeutic option is limited. OBJECTIVE: To assess the quality of apps for chronic insomnia disorder, available on the Android Google Play Store, and determine whether a novel approach to app assessment could identify high-quality and low-risk health apps in the absence of indicators such as National Health Service (NHS) approval. METHODS: The Organisation for the Review of Care and Health Applications- 24 Question Assessment (ORCHA-24), 24 app assessment criteria concerning data privacy, clinical efficacy and user experience, answered on a 'yes' or 'no' and evidence-driven basis, was applied to assess 18 insomnia apps identified via the Android Google Play Store, in addition to the NHS-approved iOS app Sleepio. FINDINGS: 63.2% of apps (12/19) provided a privacy policy, with seven (36.8%) stating no user data would be shared without explicit consent. 10.5% (2/19) stated they had been shown to be of benefit to those with insomnia, with cognitive behavioural therapy apps outperforming hypnosis and meditation apps (p=0.046). Both the number of app downloads (p=0.29) and user-review scores (p=0.23) were unrelated to ORCHA-24 scores. The NHS-approved app Sleepio, consistently outperformed non-accredited apps across all domains of the ORCHA-24. CONCLUSIONS: Apps for chronic insomnia disorder exhibit substantial variation in adherence to published data privacy, user experience and clinical efficacy standards, which are not clearly correlated with app downloads or user-review scores. CLINICAL IMPLICATIONS: In absence of formal app accreditation, the ORCHA-24 could feasibly be used to highlight the risk-benefit profiles of health apps prior to downloading. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
BACKGROUND: Mobile health offers many opportunities; however, the 'side-effects' of health apps are often unclear. With no guarantee health apps first do no harm, their role as a viable, safe and effective therapeutic option is limited. OBJECTIVE: To assess the quality of apps for chronic insomnia disorder , available on the Android Google Play Store, and determine whether a novel approach to app assessment could identify high-quality and low-risk health apps in the absence of indicators such as National Health Service (NHS) approval. METHODS: The Organisation for the Review of Care and Health Applications- 24 Question Assessment (ORCHA-24), 24 app assessment criteria concerning data privacy, clinical efficacy and user experience, answered on a 'yes' or 'no' and evidence-driven basis, was applied to assess 18 insomnia apps identified via the Android Google Play Store, in addition to the NHS-approved iOS app Sleepio. FINDINGS: 63.2% of apps (12/19) provided a privacy policy, with seven (36.8%) stating no user data would be shared without explicit consent. 10.5% (2/19) stated they had been shown to be of benefit to those with insomnia , with cognitive behavioural therapy apps outperforming hypnosis and meditation apps (p=0.046). Both the number of app downloads (p=0.29) and user-review scores (p=0.23) were unrelated to ORCHA-24 scores. The NHS-approved app Sleepio, consistently outperformed non-accredited apps across all domains of the ORCHA-24. CONCLUSIONS: Apps for chronic insomnia disorder exhibit substantial variation in adherence to published data privacy, user experience and clinical efficacy standards, which are not clearly correlated with app downloads or user-review scores. CLINICAL IMPLICATIONS: In absence of formal app accreditation, the ORCHA-24 could feasibly be used to highlight the risk-benefit profiles of health apps prior to downloading. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
Entities: Disease
Keywords:
health-apps; insomnia; mHealth; quality assessment.
Mesh： See more »
Year: 2017
PMID： 28947676 DOI： 10.1136/eb-2017-102751
Source DB: PubMed Journal: Evid Based Ment Health ISSN： 1362-0347